• DocumentCode
    1651635
  • Title

    Evolutionary diffusion optimization.I. Description of the algorithm

  • Author

    Tsui, Kwok Ching ; Liu, Jiming

  • Author_Institution
    Dept. of Comput. Sci., Hong Kong Baptist Univ., Kowloon, China
  • Volume
    1
  • fYear
    2002
  • Firstpage
    169
  • Lastpage
    174
  • Abstract
    This article proposes a new population-based stochastic search algorithm called evolutionary diffusion optimization (EDO) inspired by diffusion in nature. Each entity in EDO makes the decision to diffuse based on the information shared between its parent and its siblings. The behavior of EDO when solving a typical optimization problem is also discussed
  • Keywords
    genetic algorithms; probability; search problems; stochastic processes; evolutionary diffusion optimization; optimization problem; stochastic search algorithm; Ant colony optimization; Computer science; Equations; Evolutionary computation; Functional programming; Genetic programming; Humans; Simulated annealing; Stochastic processes; Turning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on
  • Conference_Location
    Honolulu, HI
  • Print_ISBN
    0-7803-7282-4
  • Type

    conf

  • DOI
    10.1109/CEC.2002.1006228
  • Filename
    1006228
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1651635